Structured Thinking
Frameworks, technical deep-dives, and case studies on building intelligent systems at the intersection of product and engineering.
The Anatomy of a High-Signal Prompt
A ten-layer structural framework for engineering prompts that produce reliable outputs in production, and the gap analysis method that reveals what most prompts are missing.
Preventing LLM Hallucinations Without Fine-Tuning
Four prompt-layer techniques that address the structural causes of hallucination in production. No model changes required.
Context Engineering: The Discipline Beyond Prompting
Why the quality of what goes into the context window matters more than how you phrase the request, and the system-level decisions that determine context quality at scale.
Memory Architecture for Production AI Systems
The three-tier memory model every production AI system needs, plus the session boundary failures that most teams build without realising it.
Evaluation Harnesses: How to Test AI Systems That Cannot Be Unit Tested
Why standard software testing breaks down for LLM systems, and the rubric-based evaluation infrastructure that replaces it in production.
Nine AI Concepts Every Builder Needs in 2026
The concepts that have moved from theoretical to production-essential: agentic loops, MCP, multi-agent systems, AI gateways, inference economics, evals, guardrails, observability, and the Bitter Lesson.
AI Automation Systems: From Perception to Output
The five-stage pipeline architecture that separates production AI automation from fragile demos, plus the orchestration layer that holds it together.
The 6-Month AI Engineer Roadmap
A sequenced, applied learning path from zero to shipping production LLM systems, ordered by what you can build at each stage, not by what sounds impressive.
Building LLM Apps with Guardrails: An 8-Step Production Framework
The eight-step framework for deploying LLM applications safely: from model selection through to secure deployment, with guardrails at every layer.
Building Production-Ready AI Agents
A practical framework for designing, testing, and deploying autonomous AI agents that perform reliably in production environments.
The SME Automation Framework
How to systematically identify, map, and automate the workflows that drain the most time from small and mid-size teams.
Product Thinking in the AI Era
Why traditional product frameworks break down when applied to AI-native products, and what to use instead.
Design Thinking: A Beginner-Friendly Guide to Solving Problems Creatively
A human-centered problem-solving approach that starts with people, not products, applicable to engineers, educators, and entrepreneurs alike.
Level Up Your Credit: How Research Games Are Shaping the Future of Financial Solutions
Interactive research games are overcoming the biases of traditional financial research by observing actual behaviour, and reshaping how credit products are designed.
Crossing the Chasm
Why great products fail to reach the mainstream, and the focused niche strategy Geoffrey Moore argues is the only reliable way to bridge the gap.
Navigating the Management Maze: Understanding Product, Program, and Project Management
Three disciplines with overlapping names and entirely different jobs, clarified through a single analogy and a comparison that makes the distinctions stick.
Navigating the ISO 20022 Migration: A Project Manager's Perspective
How an agile approach, clear documentation, and proactive stakeholder communication are guiding a high-stakes payment infrastructure migration in the Nigerian financial sector.
Beyond the Map: How Uber Can Build Trust, One Confirmed Route at a Time
A product proposal for a Route Preference Confirmation feature that reduces suspicion, improves communication, and gives passengers genuine control over their journey.